Operations Data Analyst, Senior

Requisition ID# 168539 Job Category: Business Operations / Strategy Job Level: Individual Contributor Business Unit: Electric Operations Work Type: Hybrid Job Location: Dublin; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakland; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City Department Overview The Coworkers of Electric Operations ensure the delivery of safe and reliable electric service to our customers. Electric Operations is responsible for every aspect of PG&E's electric distribution and transmission operations, including planning, engineering, maintenance and construction, asset management, business planning, restoration, and emergency response. Position Summary Extracts operations data for analysis, leadership support and responses to ad hoc data requests. Maintains operations tools & databases to ensure that it is kept up-to-date. Supports dashboarding and reporting by analysing data and providing actionable insights. Develops, maintains and enhances operational metric database tools for the broader analytics teams. Identifies and solves current gaps in data requirements and ease of access to ensure fast and consistent responses to leadership inquiries. The assigned work location will be within the PG&E Service Territory and will be agreed upon by the successful candidate and hiring leader. This position is hybrid, working from your remote office and assigned location, subject to change per business needs. PG&E is providing the salary range that can reasonably be expected for this position at the time of the job posting. This salary range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, internal equity, specific skills, education, licenses or certifications, experience, market value, and geographic location. The decision will be made on a case-by-case basis related to these factors. This job is also eligible to participate in PG&E's discretionary incentive compensation programs. A reasonable salary range is: Minimum Base Salary (Bay Area) $ 105,000.00 Maximum Base Salary (Bay Area) $ 150,700.00 OR Minimum Base Salary (California) $ 100,000.00 Maximum Base Salary (California) $ 143,000.00 Job Responsibilities Manages complex data analysis projects with limited supervision from initial request to presenting data results ensuring that the project is completed within budget and on-time. Designs data analysis to achieve business objectives, process data, analyze data, write clear and concise data findings and tailor communications to specific audiences. Analyzes data using various statistical tools to develop ad hoc reports, statistics, trends and profiles. Manages complex data extracts and list pulls ensuring data accuracy. Manages extracting data and transferring the data from databases to various analysts to support operational analysis efforts. Develops and maintains dashboards and reporting tools to provide leadership and stakeholders with timely, actionable insights. Creates complex automated data routines and processes for reporting and data delivery ensuring accurate data manipulation and data cleansing. Demonstrates and utilizes advanced knowledge of data processing and data analysis techniques. Develops and communicates clear, concise and actionable data analyses for clients. Provides recommendations to enhance database(s) with new data sources and improved data processes. Qualifications Minimum: BA/BS Degree in Marketing, Business, Computer Science, Engineering or other related field or equivalent work experience 4 years of related work experience Desired: Expertise in SQL (including complex queries and optimization) and proficiency in Python for data processing is a must. Proficiency in BI tools (Tableau, Power BI) for developing interactive dashboards and reports for leadership and stakeholders. Hands-on experience with AWS cloud services (e.g., S3, Redshift, Glue) for building scalable data solutions and supporting analytics workflows. Strong knowledge of data modeling, ETL workflows, and data governance best practices. Experience with Snowflake and Palantir Foundry is a plus. Demonstrated ability to lead end-to-end analytics projects from requirements gathering to delivering impactful outcomes. Exceptional communication skills to present insights effectively to both technical and non-technical stakeholders. Ability to thrive in fast-paced, deadline-driven environments. Prior experience in dynamic environments such as startups, utility operations, retail, or airports is a plus. Strong organizational skills, abilitiy to effectively priortize work, meet deadlines and work on multiple tasks independently. Advanced problem-solving skills with adaptability to changing priorities.